Data processing system for industrial application scene

Abstract

A data processing system for an industrial application scene comprises a data storage module, a data analysis and calculation module and a data application module. On one hand, the data analysis and calculation module receives a large quantity of industrial data sets in the data storage module to train a machine learning regression model for predictive analysis; and on the other hand, the data analysis and calculation module directly receives original industrial data of external equipment for real-time streaming data analysis, results obtained after two kinds of analysis are returned back to the data storage module for storage, each submodule of the data application module calls corresponding data results according to demands, and the purpose of data processing application is achieved. Themodules of the system are connected through message transmission queues, the structure is definite, and the coupling degree is lower. The system can provide reasonable and accurate reference for factory managers in the aspects of equipment state monitoring, production scheduling and equipment maintenance, and the economic benefits of factories are improved.

Description

technical field [0001] The invention relates to a data processing system in an industrial application scenario. It mainly conducts rational storage and intelligent analysis of a large number of sensor data in industrial production, so as to provide real-time industrial equipment status information for front-line engineers, and formulate predictive maintenance plans based on industrial big data analysis results to reduce equipment loss and improve economic benefits. Background technique [0002] With the rapid development of modern industry, data is generated all the time in modern industrial production. Whether it is "Industry 4.0" in Germany, "Industrial Internet" in the United States, or "Made in China 2025", the implementation of manufacturing innovation strategies in various countries is based on the collection and analysis of industrial big data, and builds an application environment for the manufacturing system. In the process of manufacturing products in industrial e...

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Problems solved by technology

However, the system does not explain the storage method of a large amount of industrial data, and there is no equipment predictive maintenance content, and the service life of the equipment cannot be predicted from the perspective of big data; Xu Fei, Lin Hai, etc. proposed a device based on industrial big data State Prediction and Analysis System (Xu Fei, Lin Hai, Yi Wenkai, Ji Daoli, Ye Kunhua. An Equipment State Prediction and Analysis System Based on Industrial Big Data: China, 108228822[A]. 2018-06-29) which introduced an industrial equipment The method of predictive maintenance, but the internal mathematical model is relatively simple, and has not been combined with artificial intelligence fields such as machine learning

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